Personnel placement in a fuzzy environment
Computers and Operations Research
Why triangular membership functions?
Fuzzy Sets and Systems
Fuzzy sets and fuzzy logic: theory and applications
Fuzzy sets and fuzzy logic: theory and applications
A Critique of Software Defect Prediction Models
IEEE Transactions on Software Engineering
Workers' placement in an industrial environment
Fuzzy Sets and Systems
Assigning people to roles in software projects
Software—Practice & Experience
Emphasizing Human Capabilities in Software Development
IEEE Software
A fuzzy model for competency-based employee evaluation and selection
Computers and Industrial Engineering
PROJECT TEAM SELECTION USING FUZZY OPTIMIZATION APPROACH
Cybernetics and Systems
A Task Allocation Optimizer for Software Construction
IEEE Software
A knowledge-based fuzzy expert system to analyse degraded terrain
Expert Systems with Applications: An International Journal
A systematic approach for resource allocation in software projects
Computers and Industrial Engineering
Forming effective worker teams with multi-functional skill requirements
Computers and Industrial Engineering - Special issue: Group technology/cellular manufacturing
Comparison of fuzzy reasoning methods
Fuzzy Sets and Systems
A RFID-based Resource Allocation System for garment manufacturing
Expert Systems with Applications: An International Journal
| Hi-index | 12.05 |
The fast pace at which new technologies and techniques are being developed to improve the design and development of products increases the demand for specialized individual skills in the workforce. As a result of higher demands, candidates with exact required skills to work tasks are usually unavailable. Due to the lack of proper methods to assess personnel capabilities, decision makers are forced to assign resources to tasks based on shallow assessments. To tackle this issue, this research presents a layered expert architecture where subcomponents can be customized to specific industrial settings. A fuzzy logic scheme is described to model personnel capabilities as imprecise parameters, and to consider complete skill sets of resources when evaluating their levels of expertise in a skill. The proposed approach leads to thorough capability assessments, as well as an increased number of capable candidates. A case study is presented to show the implementation of the solution approach.